SSRG International Journal of Economics and Management Studies ( SSRG – IJEMS ) – Volume 4 Issue 3 March 2017 ISSN: 2393 - 9125 www.internationaljournalssrg.org Page 26 Technical Study of Pharmaceutical Stocks Listed In NSE ShahanaJabeen 1 , AfshanJabeen 2 Anwar ululoom college, Address: #11-3-918, Near Badi Masjid, New Mallepally, Hyderabad, Telangana 500001, India Abstract Financial Markets specially stock market being core of our day to day activities and having enormous potential to earn, and by applying technical analysis to what extent we can earn the making matters the most hence this study of Technical Analysis. Prices of securities in the stock markets fluctuate daily on account of continuous buying and selling. Stock prices move in trends and cycles and are never stable. The present study manifesting the price behavior of shares, trend and their future movements. The main objective of this paper is to identify the performance of pharmaceutical’s stock which is listed in National Stock Exchange (NSE) and risk involvement has been predicted on account of applied technical indicators.The rationale behind technical analysis is that the share price behavior repeats itself over specified time and analysts attempt to derive methods to predict this repetition. The study looks at the past share prices data to see if we can establish any trend or an entry can be made. This study is purely based on data provided on stocks listed in NSE. For the purpose of analysis, techniques like Beta, Relative Strength Index, Slow Stochastic and Simple Moving average are used and the strength of stock is inferred. Key words:Technical analysis, Beta, Relative Strength Index, Stochastic (slow stochastic) & Simple Moving average I. INTRODUCTION A stock market is similar to a share market. The key difference is that a stock market helps in trading financial instruments like bonds, mutual funds, derivatives as well as shares of companies. A stock may be bought or sold only if it is listed on an exchange. Thus, it is the meeting place of the stock buyers and sellers. There are always ups and downs in the stock market, as such there's no guarantee you'll make money on a stock at any given point in time. Many methods have been applied for stock market prediction ranging from time series forecasting, statistical analysis, fundamental and technical analysis. Investment analysts and investors examine historical price and volume data and other market-related indicators to get an in dept view of securities trading on the stock exchange for better results. Technical analysis attempts to forecast future price movements by examining past supply and demand changes as that are reflected in changes in prices over time. Most traders use technical analysis to get a "big picture" on an investment's price history. Technical Analysis is a method of analyzing/evaluating security or stock using statistics generated by the buyer/seller of the stock on a daily basis. However, data usage depends upon the quantum of period being selected by the investor /trader at large. A technical analyst looks at the past share prices data to see if he can establish any trend or an entry can be made for the stock selected. Technical analysts also study the volume pattern to derive the “Demand & Supply” rationale. However, this study has been done on a considerate and moderate method to simplify the usage II. REVIEW OF LITERATURE  Lo, Mamaysky and Wang (2000) examines the effectiveness of technical analysis on US stocks from 1962 to 1996 and finds that over the 31-year sample period, several technical indicators do provide incremental information and may have some practical value.  Shankar R.L, Ganesh Sankar&Kiran Kumar K (2005) examines the dynamic relationship among liquidity, volatility, and mispricing in single stock futures.  Gehrig and Menkhoffe (2006) argue that technical analysis is as important as fundamental analysis to currency managers.  Franklin N. R. B. (2012) talked about buying and selling decisions of stocks of few selected Indian Banks. The Study is based on secondary data for the year 2010 for five banks, Axis Bank, State Bank of India, ICICI Bank, HDFC Bank and Punjab National Bank. The Author used 2 technical analysis tools, moving average, and support and resistance level for predicting future prices of these banks. The Author analyzed that all these five